Adaptive minimum entropy beamforming algorithms for narrowband signals

Abstract

Blind beamforming has been studied extensively in recent times. Array signal processing is an effective technique for signal extraction in communication systems. We employ minimum entropy deconvolution (MED) principle for source extraction. Results are shown which indicate good performance in comparison with conventional adaptive algorithms like the constant modulus algorithm and the multi-modulus algorithm. © 2012 Springer-Verlag.